Notice Number: NOT-RM-17-020

Key Dates
Release Date: May 12, 2017

Estimated Publication Date of Announcement: July 2017
First Estimated Application Due Date: October 2017
Earliest Estimated Award Date: July 2018
Earliest Estimated Start Date: August 2018

Related Announcements
NOT-RM-17-018
NOT-RM-17-019
NOT-RM-17-021
RFA-RM-17-013

Issued by
Office of Strategic Coordination (Common Fund)

Purpose

The Office of Strategic Coordination (Common Fund) intends to address challenges in the generation and use of metabolomic data in order to continue to build the national capacity for metabolomics and support the development of resources that catalyze the effective use of metabolomics in basic and translational biomedical research. Common Fund will publish four distinct but integrated Funding Opportunity Announcements (FOAs) that solicit applications for the second phase of the Common Fund Metabolomics Program.

This Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.

The FOA is expected to be published in Summer 2017 with an expected application due date in Fall 2017.

This FOA will utilize the U2C activity code. Details of the planned FOA are provided below.

Research Initiative Details

The Compound Identification Development Cores (U2C) aim to expand the repertoire of biologically relevant compounds that can be quickly and inexpensively identified in high throughput metabolomics experiments. Proposed strategies can initiate from a computational approach or an experimental approach, but need to couple both disciplines to achieve validation and development of techniques or tools that will be catalytic to the field. Computational predictions must be accompanied by a clear strategy for validating and assessing the performance. An interdisciplinary approach and partnership among metabolomics experts, biomedical researchers, chemists, and computational experts will be integral to the success of this goal.

This Notice encourages applications from investigators with expertise in computational and experimental approaches to identify unknown chemical entities in metabolomic studies in a cost-effective, portable and generalizable way. Prospective applicants must have sufficient computational capacity to make appropriate sized in silico libraries where needed, the experimental capacity to rigorously test computational models, significant experience in producing high quality and quantity metabolomics datasets and in molecular identification, and must have a strategy for selecting novel biologically relevant molecules to pursue.

APPLICATIONS ARE NOT BEING SOLICITED AT THIS TIME.

Inquiries

Please direct all inquiries to:

David Balshaw
National Institute of Environmental Health Sciences (NIEHS)
Telephone: 919-541 2448
Email: [email protected]